Job description

The role focuses on driving data-informed decision-making within Al-Futtaim Retail’s Digital Retail team by creating and maintaining interactive Microsoft Power BI dashboards, writing complex SQL and DAX queries, and leveraging Azure Databricks and Google BigQuery for large-scale analytics. It requires building and managing data models, automation workflows, and ETL processes to streamline reporting. The position integrates online and offline data sources, analyzes sales, stock, pricing, and marketing campaign data, and conducts statistical and regression analysis for forecasting, sell-through, and inventory optimization. It involves working with SQL Server, Google Analytics 4, Funnel, and Branch integrations for data ingestion and validation, ensuring data governance, accuracy, and reliability. The role includes translating analytical outputs into business narratives and recommendations, collaborating with eCommerce, CRM, Planning, and Finance teams to define KPIs, automating reporting, supporting A/B testing, and designing scalable data solutions. Technical expertise includes SQL, R, Python, predictive analytics, data mining, Microsoft Azure, Azure Databricks, Google BigQuery, ETL pipelines, and statistical models such as Holt-Winters, XG-Boost, SARIMA, and Deep LSTM, with strong focus on data quality and validation.